Oleksii Liashuk
Oleksii Liashuk is lead ML engineer working with Python computer vision systems, such as object detection, segmentation, OCR and object tracking.
He focuses on practical ML problems like car damage detection, container number recognition in difficult conditions, and continuous dataset and model maintenance. Oleksii has hands-on experience with dataset updates, model retraining cycles and deployment of ML systems using Docker and Kubernetes.
Session
Many teams work with datasets that evolve over time. What starts as simple setup, quickly turns into chaos once updates become regular. In this talk, I share a practical workflow for managing dataset updates by splitting the process into clear stages, each represented by a Python script. This approach was used in production for two years on image datasets from 2,000 to 200,000 samples and helps small teams reduce cognitive load and keep dataset and model updates predictable.